The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-05"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "3662691 (up from 3583055 yesterday: 2.22 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "257239 (up from 251537 yesterday: 2.27 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 7.02



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1204351 23976 2.03 71064 2142 3.11 5.90
Spain 219329 1318 0.60 25613 185 0.73 11.68
Italy 213013 1075 0.51 29315 236 0.81 13.76
United Kingdom 196243 4411 2.30 29501 692 2.40 15.03
France 170687 1104 0.65 25537 333 1.32 14.96
Germany 167007 855 0.51 6993 0 0.00 4.19
Russia 155370 10102 6.95 1451 95 7.01 0.93
Turkey 129491 1832 1.44 3520 59 1.70 2.72
Brazil 115455 6835 6.29 7938 571 7.75 6.88
Iran 99970 1323 1.34 6340 63 1.00 6.34
China 83968 2 0.00 4637 0 0.00 5.52
Canada 63215 1258 2.03 4190 187 4.67 6.63
Peru 51189 3817 8.06 1444 100 7.44 2.82
Belgium 50509 242 0.48 8016 92 1.16 15.87
India 49400 2963 6.38 1693 127 8.11 3.43
Netherlands 41286 318 0.78 5185 87 1.71 12.56
Ecuador 31881 0 0.00 1569 0 0.00 4.92
Saudi Arabia 30251 1595 5.57 200 9 4.71 0.66
Switzerland 30009 28 0.09 1795 11 0.62 5.98
Mexico 26025 1120 4.50 2507 236 10.39 9.63
Portugal 25702 178 0.70 1074 11 1.03 4.18
Sweden 23216 495 2.18 2854 85 3.07 12.29
Pakistan 22049 1108 5.29 514 38 7.98 2.33
Chile 22016 1373 6.65 275 5 1.85 1.25
Ireland 21983 211 0.97 1339 20 1.52 6.09
Singapore 19410 632 3.37 18 0 0.00 0.09
Belarus 18350 861 4.92 107 4 3.88 0.58
Qatar 17142 951 5.87 12 0 0.00 0.07
Israel 16289 43 0.26 238 3 1.28 1.46
Austria 15650 29 0.19 606 6 1.00 3.87
Japan 15253 175 1.16 556 20 3.73 3.65
United Arab Emirates 15192 462 3.14 146 9 6.57 0.96
Poland 14431 425 3.03 716 18 2.58 4.96
Romania 13837 325 2.41 841 23 2.81 6.08
Ukraine 12697 366 2.97 316 13 4.29 2.49
Indonesia 12071 484 4.18 872 8 0.93 7.22
Bangladesh 10929 786 7.75 183 1 0.55 1.67
Korea, South 10806 2 0.02 255 1 0.39 2.36
Denmark 10019 151 1.53 503 10 2.03 5.02
Philippines 9684 199 2.10 637 14 2.25 6.58
Serbia 9677 120 1.26 200 3 1.52 2.07
Colombia 8613 640 8.03 378 20 5.59 4.39
Dominican Republic 8480 245 2.98 354 8 2.31 4.17
Norway 7955 51 0.65 215 1 0.47 2.70
Czechia 7896 77 0.98 257 5 1.98 3.25
South Africa 7572 352 4.88 148 10 7.25 1.95
Panama 7523 326 4.53 210 10 5.00 2.79
Egypt 7201 388 5.69 452 16 3.67 6.28
Australia 6875 28 0.41 97 1 1.04 1.41
Malaysia 6383 30 0.47 106 1 0.95 1.66
Kuwait 5804 526 9.97 40 0 0.00 0.69
Finland 5412 85 1.60 246 6 2.50 4.55
Morocco 5219 166 3.29 181 2 1.12 3.47
Argentina 5020 133 2.72 264 4 1.54 5.26
Algeria 4838 190 4.09 470 5 1.08 9.71
Moldova 4363 115 2.71 136 4 3.03 3.12
Kazakhstan 4205 156 3.85 29 0 0.00 0.69
Luxembourg 3840 12 0.31 96 0 0.00 2.50
Bahrain 3720 187 5.29 8 0 0.00 0.22
Afghanistan 3224 330 11.40 95 5 5.56 2.95
Hungary 3065 30 0.99 363 12 3.42 11.84
Thailand 2988 1 0.03 54 0 0.00 1.81
Nigeria 2950 148 5.28 98 5 5.38 3.32
Oman 2735 98 3.72 13 1 8.33 0.48
Ghana 2719 0 0.00 18 0 0.00 0.66
Greece 2642 10 0.38 146 0 0.00 5.53
Armenia 2619 112 4.47 40 1 2.56 1.53
Iraq 2431 85 3.62 102 4 4.08 4.20
Uzbekistan 2207 18 0.82 10 0 0.00 0.45
Croatia 2112 11 0.52 83 3 3.75 3.93
Cameroon 2104 0 0.00 64 0 0.00 3.04
Azerbaijan 2060 76 3.83 26 0 0.00 1.26
Bosnia and Herzegovina 1946 20 1.04 79 1 1.28 4.06
Guinea 1811 101 5.91 10 1 11.11 0.55
Bolivia 1802 121 7.20 86 4 4.88 4.77
Iceland 1799 0 0.00 10 0 0.00 0.56
Estonia 1711 8 0.47 55 0 0.00 3.21
Bulgaria 1704 52 3.15 80 2 2.56 4.69
Cuba 1685 17 1.02 69 0 0.00 4.09
North Macedonia 1526 8 0.53 86 1 1.18 5.64
New Zealand 1488 2 0.13 21 1 5.00 1.41
Cote d’Ivoire 1464 32 2.23 18 1 5.88 1.23
Slovenia 1445 6 0.42 98 1 1.03 6.78
Lithuania 1423 4 0.28 46 0 0.00 3.23
Slovakia 1421 8 0.57 25 0 0.00 1.76
Senegal 1329 58 4.56 11 1 10.00 0.83
Honduras 1270 92 7.81 93 10 12.05 7.32
Djibouti 1120 4 0.36 2 0 0.00 0.18
Tunisia 1022 4 0.39 43 0 0.00 4.21

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 321192 2239 0.70 25124 125 0.50 7.82 16510.70 1291.49 1 in 61
New Jersey 130593 2324 1.81 8244 334 4.22 6.31 14702.79 928.15 1 in 68
Massachusetts 70271 1184 1.71 4212 122 2.98 5.99 10111.66 606.09 1 in 99
Illinois 65889 2112 3.31 2834 175 6.58 4.30 5199.65 223.65 1 in 192
California 58456 2572 4.60 2381 103 4.52 4.07 1479.44 60.26 1 in 676
Pennsylvania 53864 1048 1.98 3179 341 12.02 5.90 4207.47 248.32 1 in 238
Michigan 44451 461 1.05 4183 44 1.06 9.41 4450.95 418.85 1 in 225
Florida 37439 542 1.47 1471 72 5.15 3.93 1743.15 68.49 1 in 574
Texas 33912 1129 3.44 925 24 2.66 2.73 1169.55 31.90 1 in 855
Connecticut 30621 648 2.16 2633 77 3.01 8.60 8588.65 738.51 1 in 116
Georgia 29998 547 1.86 1299 53 4.25 4.33 2825.36 122.35 1 in 354
Louisiana 29996 323 1.09 2115 51 2.47 7.05 6452.43 454.96 1 in 155
Maryland 27117 709 2.68 1390 73 5.54 5.13 4485.35 229.92 1 in 223
Indiana 21033 526 2.56 1211 60 5.21 5.76 3124.23 179.88 1 in 320
Ohio 20969 495 2.42 1135 78 7.38 5.41 1793.89 97.10 1 in 557
Virginia 20257 764 3.92 713 29 4.24 3.52 2373.26 83.53 1 in 421
Colorado 17367 449 2.65 903 52 6.11 5.20 3015.77 156.81 1 in 332
Washington 15594 132 0.85 862 21 2.50 5.53 2047.83 113.20 1 in 488
Tennessee 13690 119 0.88 226 7 3.20 1.65 2003.46 33.07 1 in 499
North Carolina 12510 539 4.50 472 30 6.79 3.77 1192.78 45.00 1 in 838
Iowa 10111 408 4.20 207 19 10.11 2.05 3204.68 65.61 1 in 312
Rhode Island 9933 281 2.91 355 14 4.11 3.57 9376.41 335.11 1 in 107
Arizona 9305 381 4.27 395 33 9.12 4.25 1221.95 51.87 1 in 818
Missouri 9121 175 1.96 409 23 5.96 4.48 1486.13 66.64 1 in 673
Wisconsin 8566 330 4.01 353 13 3.82 4.12 1471.21 60.63 1 in 680
Alabama 8437 325 4.01 315 17 5.70 3.73 1720.72 64.24 1 in 581
Mississippi 8207 330 4.19 342 32 10.32 4.17 2757.59 114.91 1 in 363
Minnesota 7851 617 8.53 455 28 6.56 5.80 1392.11 80.68 1 in 718
South Carolina 6841 84 1.24 296 13 4.59 4.33 1328.68 57.49 1 in 753
Nebraska 6373 336 5.57 78 0 0.00 1.22 3294.55 40.32 1 in 304
Kentucky 5822 577 11.00 275 14 5.36 4.72 1303.14 61.55 1 in 767
Nevada 5660 30 0.53 270 5 1.89 4.77 1837.57 87.66 1 in 544
Kansas 5648 265 4.92 161 5 3.21 2.85 1938.69 55.26 1 in 516
Utah 5449 132 2.48 56 6 12.00 1.03 1699.65 17.47 1 in 588
Delaware 5371 83 1.57 187 5 2.75 3.48 5515.71 192.04 1 in 181
District of Columbia 5322 152 2.94 264 6 2.33 4.96 7540.92 374.07 1 in 133
New Mexico 4138 107 2.65 162 6 3.85 3.91 1973.46 77.26 1 in 507
Oklahoma 4127 83 2.05 247 9 3.78 5.98 1042.97 62.42 1 in 959
Arkansas 3525 34 0.97 83 3 3.75 2.35 1168.06 27.50 1 in 856
Oregon 2839 80 2.90 113 4 3.67 3.98 673.11 26.79 1 in 1486
South Dakota 2721 53 1.99 24 3 14.29 0.88 3075.76 27.13 1 in 325
New Hampshire 2636 48 1.85 92 6 6.98 3.49 1938.65 67.66 1 in 516
Idaho 2127 21 1.00 65 1 1.56 3.06 1186.90 36.27 1 in 843
Puerto Rico 1924 81 4.40 99 2 2.06 5.15 602.44 31.00 1 in 1660
North Dakota 1266 41 3.35 25 0 0.00 1.97 1661.28 32.81 1 in 602
West Virginia 1246 22 1.80 48 0 0.00 3.85 697.20 26.86 1 in 1434
Maine 1226 21 1.74 61 4 7.02 4.98 912.06 45.38 1 in 1096
Vermont 907 5 0.55 52 0 0.00 5.73 1453.55 83.33 1 in 688
Hawaii 625 4 0.64 17 0 0.00 2.72 441.42 12.01 1 in 2265
Wyoming 604 8 1.34 7 0 0.00 1.16 1043.61 12.09 1 in 958
Montana 456 -1 -0.22 16 0 0.00 3.51 426.66 14.97 1 in 2344
Alaska 371 1 0.27 9 0 0.00 2.43 507.15 12.30 1 in 1972

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1028899 321192 31.22 52890.01
New Jersey 287623 130593 45.40 32381.99
Massachusetts 333349 70271 21.08 47967.32
Illinois 346286 65889 19.03 27327.25
California 779902 58456 7.50 19738.25
Pennsylvania 250882 53864 21.47 19597.11
Michigan 222836 44451 19.95 22312.93
Florida 465691 37439 8.04 21682.50
Texas 427210 33912 7.94 14733.47
Connecticut 108643 30621 28.18 30472.44
Georgia 200883 29998 14.93 18920.13
Louisiana 188231 29996 15.94 40490.29
Maryland 140103 27117 19.36 23174.07
Indiana 115834 21033 18.16 17205.92
Ohio 160735 20969 13.05 13750.84
Virginia 113708 20257 17.81 13321.74
Colorado 85004 17367 20.43 14760.88
Washington 216320 15594 7.21 28407.49
Tennessee 218862 13690 6.26 32029.33
North Carolina 151800 12510 8.24 14473.57
Iowa 60569 10111 16.69 19197.36
Rhode Island 76435 9933 13.00 72151.99
Arizona 88260 9305 10.54 11590.45
Missouri 95066 9121 9.59 15489.55
Wisconsin 92533 8566 9.26 15892.49
Alabama 106766 8437 7.90 21774.83
Mississippi 80308 8207 10.22 26983.86
Minnesota 88009 7851 8.92 15605.45
South Carolina 67771 6841 10.09 13162.70
Nebraska 34609 6373 18.41 17891.26
Kentucky 60047 5822 9.70 13440.33
Nevada 47884 5660 11.82 15545.97
Kansas 40092 5648 14.09 13761.65
Utah 126715 5449 4.30 39524.85
Delaware 24680 5371 21.76 25344.95
District of Columbia 24329 5322 21.88 34472.60
New Mexico 81720 4138 5.06 38973.14
Oklahoma 79417 4127 5.20 20070.15
Arkansas 54635 3525 6.45 18104.10
Oregon 65424 2839 4.34 15511.64
South Dakota 19022 2721 14.30 21502.07
New Hampshire 26870 2636 9.81 19761.55
Idaho 30308 2127 7.02 16912.33
Puerto Rico 11237 1924 17.12 3518.50
North Dakota 36421 1266 3.48 47792.70
West Virginia 54823 1246 2.27 30676.27
Maine 20772 1226 5.90 15452.92
Vermont 17518 907 5.18 28074.21
Hawaii 33999 625 1.84 24012.76
Wyoming 10915 604 5.53 18859.32
Montana 15272 456 2.99 14289.22
Alaska 22692 371 1.63 31019.28

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 15525 984 6.77 2819 18.16 12089 617 34 5.83 3.97
Gujarat 6245 441 7.60 1381 22.11 4496 368 49 15.36 5.89
Delhi 5104 206 4.21 1468 28.76 3572 64 0 0.00 1.25
Tamil Nadu 4058 508 14.31 1485 36.59 2540 33 2 6.45 0.81
Rajasthan 3158 97 3.17 1525 48.29 1544 89 12 15.58 2.82
Madhya Pradesh 3049 107 3.64 1000 32.80 1873 176 11 6.67 5.77
Uttar Pradesh 2880 114 4.12 987 34.27 1837 56 6 12.00 1.94
Andhra Pradesh 1717 67 4.06 589 34.30 1094 34 1 3.03 1.98
Punjab 1451 219 17.78 133 9.17 1293 25 2 8.70 1.72
West Bengal 1344 85 6.75 264 19.64 940 140 7 5.26 10.42
Telangana 1096 11 1.01 628 57.30 439 29 0 0.00 2.65
Jammu and Kashmir 741 15 2.07 320 43.18 413 8 0 0.00 1.08
Karnataka 673 22 3.38 331 49.18 312 29 2 7.41 4.31
Haryana 548 31 6.00 256 46.72 286 6 0 0.00 1.09
Bihar 535 7 1.33 160 29.91 371 4 0 0.00 0.75
Kerala 503 3 0.60 462 91.85 37 4 0 0.00 0.80
Odisha 177 8 4.73 60 33.90 115 2 1 100.00 1.13
Jharkhand 125 10 8.70 33 26.40 89 3 0 0.00 2.40
Chandigarh 115 13 12.75 21 18.26 93 1 0 0.00 0.87
Uttarakhand 61 1 1.67 39 63.93 21 1 0 0.00 1.64
Chhattisgarh 59 1 1.72 36 61.02 23 0 0 NaN 0.00
Assam 45 2 4.65 33 73.33 11 1 0 0.00 2.22
Himachal Pradesh 42 1 2.44 34 80.95 2 3 1 50.00 7.14
Ladakh 42 0 0.00 17 40.48 25 0 0 NaN 0.00
Tripura 42 13 44.83 2 4.76 40 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 32 96.97 1 0 0 NaN 0.00
Meghalaya 12 0 0.00 10 83.33 1 1 0 0.00 8.33
Puducherry 9 -3 -25.00 6 66.67 3 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 NA NA 0 0.00 1 0 NA NA 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 425290 78605 500 0.64 18.48 6201 509 37092 14389 18.31
Piemonte 181316 27774 152 0.55 15.32 2307 155 15323 3216 11.58
Emilia-Romagna 206166 26275 100 0.38 12.74 1917 191 8681 3705 14.10
Veneto 390952 18402 29 0.16 4.71 926 98 7116 1545 8.40
Toscana 157260 9631 30 0.31 6.12 484 111 5190 889 9.23
Liguria 57622 8475 63 0.75 14.71 583 68 3427 1232 14.54
Lazio 157307 6914 67 0.98 4.40 1315 91 4370 534 7.72
Marche 67256 6392 29 0.46 9.50 387 42 3219 936 14.64
Campania 93068 4518 20 0.44 4.85 408 25 2530 369 8.17
P.A. Trento 42870 4261 3 0.07 9.94 126 15 1041 433 10.16
Puglia 69128 4170 17 0.41 6.03 384 39 2939 433 10.38
Sicilia 91306 3267 12 0.37 3.58 367 26 2202 247 7.56
Friuli Venezia Giulia 78510 3085 9 0.29 3.93 120 4 984 303 9.82
Abruzzo 42489 3025 25 0.83 7.12 289 11 1809 335 11.07
P.A. Bolzano 45264 2542 1 0.04 5.62 99 11 612 286 11.25
Umbria 39998 1400 6 0.43 3.50 56 11 176 70 5.00
Sardegna 28867 1318 1 0.08 4.57 94 9 642 119 9.03
Valle d’Aosta 8484 1143 0 0.00 13.47 56 3 110 139 12.16
Calabria 40509 1119 1 0.09 2.76 92 4 650 88 7.86
Basilicata 15476 396 10 2.59 2.56 50 3 177 25 6.31
Molise 7528 301 0 0.00 4.00 9 1 177 22 7.31

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 33425 794 2.43 2399 118 5.17 7.18 3915.00 280.99 1 in 255
Ontario 19468 371 1.94 1505 59 4.08 7.73 1323.29 102.30 1 in 756
Alberta 5893 57 0.98 106 2 1.92 1.80 1335.33 24.02 1 in 749
British Columbia 2232 8 0.36 121 4 3.42 5.42 436.71 23.67 1 in 2290
Nova Scotia 991 6 0.61 41 3 7.89 4.14 1013.86 41.95 1 in 986
Saskatchewan 487 20 4.28 7 0 0.00 1.44 412.13 5.92 1 in 2426
Manitoba 284 1 0.35 7 1 16.67 2.46 206.17 5.08 1 in 4850
Newfoundland and Labrador 259 0 0.00 3 0 0.00 1.16 496.77 5.75 1 in 2013
New Brunswick 119 1 0.85 0 0 NaN 0.00 152.57 0.00 1 in 6555
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1588 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1040 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 944 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 656 7 1.07
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 201 1 0.50
Shanxi 198 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 112 1 0.89
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 3680.78 217.19 1 in 272
Spain 4700.58 548.93 1 in 213
Italy 3522.04 484.71 1 in 284
United Kingdom 2953.69 444.02 1 in 339
France 2547.95 381.21 1 in 392
Germany 2017.24 84.47 1 in 496
Russia 1075.22 10.04 1 in 930
Turkey 1602.41 43.56 1 in 624
Brazil 551.62 37.93 1 in 1813
Iran 1231.76 78.12 1 in 812
China 60.58 3.35 1 in 16506
Canada 1681.70 111.47 1 in 595
Peru 1591.20 44.89 1 in 628
Belgium 4430.61 703.16 1 in 226
India 36.89 1.26 1 in 27105
Netherlands 2403.14 301.80 1 in 416
Ecuador 1918.23 94.40 1 in 521
Saudi Arabia 918.37 6.07 1 in 1089
Switzerland 3501.63 209.45 1 in 286
Mexico 201.43 19.40 1 in 4964

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 176874 19067 10.78
Cook Illinois 45223 1922 4.25
Nassau New York 37152 1818 4.89
Suffolk New York 35275 1296 3.67
Westchester New York 30240 1116 3.69
Los Angeles California 27836 1315 4.72
Wayne Michigan 17391 1945 11.18
Bergen New Jersey 16460 1261 7.66
Philadelphia Pennsylvania 16410 743 4.53
Hudson New Jersey 16099 870 5.40
Middlesex Massachusetts 15980 1028 6.43
Essex New Jersey 14840 1319 8.89
Suffolk Massachusetts 14173 609 4.30
Passaic New Jersey 13797 663 4.81
Union New Jersey 13503 768 5.69
Miami-Dade Florida 13224 407 3.08
Middlesex New Jersey 13142 667 5.08
Fairfield Connecticut 12360 935 7.56
Rockland New York 12144 551 4.54
Essex Massachusetts 9979 527 5.28
Orange New York 9144 354 3.87
New Haven Connecticut 8337 610 7.32
Prince George’s Maryland 7831 295 3.77
Oakland Michigan 7522 772 10.26
Providence Rhode Island 7138 0 0.00
Harris Texas 7128 144 2.02
Ocean New Jersey 7060 469 6.64
King Washington 6621 469 7.08
Worcester Massachusetts 6597 331 5.02
Orleans Louisiana 6575 453 6.89
Jefferson Louisiana 6491 381 5.87
Monmouth New Jersey 6490 398 6.13
Norfolk Massachusetts 6466 575 8.89
Marion Indiana 6419 374 5.83
Hartford Connecticut 6351 804 12.66
Macomb Michigan 5789 647 11.18
Plymouth Massachusetts 5736 341 5.94
Morris New Jersey 5625 474 8.43
Montgomery Maryland 5541 320 5.78
Broward Florida 5492 215 3.91
District of Columbia District of Columbia 5322 264 4.96
Maricopa Arizona 4929 175 3.55
Fairfax Virginia 4834 201 4.16
Mercer New Jersey 4743 280 5.90
Montgomery Pennsylvania 4687 443 9.45
Dallas Texas 4623 121 2.62
Riverside California 4454 184 4.13
Clark Nevada 4408 226 5.13
Lake Illinois 4370 151 3.46
Delaware Pennsylvania 4269 318 7.45

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc